Google Cloud Professional Machine Learning Engineer — Question 327

Your company needs to generate product summaries for vendors. You evaluate a foundation model from Model Garden for text summarization and find the style of the summaries are not aligned with your company's brand voice. How should you improve this LLM-based summarization model to better meet your business objectives?

Answer options

• A. Replace the pre-trained model with another model in Model Garden.
• B. Fine-tune the model using a company-specific dataset.
• C. Increase the model's temperature parameter.
• D. Tune the token output limit in the response.

Correct answer: B

Explanation

The correct answer is B because fine-tuning the model with a company-specific dataset allows it to learn and adapt to the unique tone and style of your brand voice. The other options, such as replacing the model (A) or adjusting the temperature (C), won't directly address the issue of alignment with branding, while tuning the token output limit (D) only affects the length of the summary, not its style.